The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction by Kejia He, Hongyu Cheng, Yuchen Zhou, Cuihua Xie

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Unbiased Isotonic Regression Tree for Discovering Hidden Heterogeneity in Monotonicity Constraints by Doowon Choi

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Unique Information Through the Lens of Channel Ordering: An Introduction and Review by Pradeep Kr. Banerjee

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Common Best Proximity Point Theorems in JS-Metric Spaces Endowed with Graphs by Chaiporn Thangthong, Phakdi Charoensawan, Supreedee Dangskul, Narawadee Phudolsitthiphat

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New results on eliminating the duality gap of the second-order-cone reformulation for extended trust-region subproblem with two intersecting cuts by Wang, Meiling

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A new view of spaces and their properties in the sense of non-Newtonian measure. by Amer Darweesh, Adel Almalki, Kamel Al-Khaled, Alaa Ayyash

“…By exploring topological characteristics and separability conditions in geometric metric spaces, this work enhances the understanding of metric spaces' structural properties, offering potential applications in fields that require flexible metric adaptations, such as data science, physics, and computational geometry. This framework's adaptability makes it relevant for scenarios where non-Euclidean or high-dimensional spaces are needed, allowing for versatile applications and extending classical metric concepts into broader analytical contexts.…”
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Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education by Huibo Yang, Mengxuan Hu, Amoreena Most, W. Anthony Hawkins, Brian Murray, Susan E. Smith, Sheng Li, Andrea Sikora

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Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19 by Catharine I. Paules, Jacqueline A. Nordwall, Kathryn Shaw-Saliba, Judith A. Aberg, Edward M. Gardner, Anna L. Goodman, N. Kumarasamy, Shikha Vasudeva, David M. Vock, Crystal M. North, Jens Lundgren, Neil R. Aggarwal, for the STRIVE Network and TICO Trial Study Group

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Development and application of a clinical core data set for deep brain stimulation in Parkinson’s disease, dystonia or tremor: from data collection to data exchange and data sharin... by Anna-Lena Hofmann, Jonas Widmann, Lilly Brandstetter, Udo Selig, Fabian Haug, Julian Haug, Rüdiger Pryss, Jasper Mecklenburg, Andrea Kreichgauer, Philipp Capetian, Christian J. Hartmann, Christian Niklas, Petra Ritter, Patricia Krause, Alfons Schnitzler, Jens Volkmann, Andrea A. Kühn, Peter Heuschmann, Kirsten Haas

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MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data by Katarzyna Arturi, Eliza J. Harris, Lilian Gasser, Beate I. Escher, Georg Braun, Robin Bosshard, Juliane Hollender

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Death trends for 2010 - 2022 for members of a large private medical scheme in South Africa by L Steenkamp, S Collie, T A Moultrie, H Moultrie, G Gray

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Molecular simulations reveal intricate coupling between agonist-bound β-adrenergic receptors and G protein by Yanxiao Han, John R.D. Dawson, Kevin R. DeMarco, Kyle C. Rouen, Khoa Ngo, Slava Bekker, Vladimir Yarov-Yarovoy, Colleen E. Clancy, Yang K. Xiang, Surl-Hee Ahn, Igor Vorobyov

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Predicting positive Clostridioides difficile test results using large-scale longitudinal data of demographics and medication history by Anh Pham, Robert El-Kareh, Frank Myers, Lucila Ohno-Machado, Tsung-Ting Kuo

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Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

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Waste-Derived Cellulosic Fibers and Their Applications by Antony V. Samrot, Khosa Tariro Ngaakudzwe, D. Rajalakshmi, P. Prakash, S. Suresh Kumar, M. Chandramohan, D. Alex Anand, J. Lilly Mercy, Yishak Simon, S. Saigeetha

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Predicting the Elastic Modulus of Nanoparticle-Reinforced Polymer Matrix Composites Based on Digital Image Processing and Finite Elements by Zhenghong Jiang, Chunrong Zhou

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Listen to the Scientists: Effects of Exposure to Scientists and General Media Consumption on Cognitive, Affective, and Behavioral Mechanisms During the COVID-19 Pandemic by Jessica M. Szczuka, Judith Meinert, Nicole C. Krämer

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Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder by Hyun Kwon

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An analysis of artificial intelligence automation in digital music streaming platforms for improving consumer subscription responses: a review by Nontokozo Mokoena, Ibidun Christiana Obagbuwa

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Dual-Targeted adversarial example in evasion attack on graph neural networks by Hyun Kwon, Dae-Jin Kim

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